IISc Launches Brain Co-Processors Moonshot for Stroke Rehabilitation

The Indian Institute of Science (IISc), Bengaluru, has launched an ambitious “moonshot” project to develop brain co-processors that integrate neuromorphic hardware with artificial intelligence algorithms to enhance or restore brain function. The initiative is supported by the Pratiksha Trust, founded by Infosys co-founder Kris Gopalakrishnan and Sudha Gopalakrishnan. A memorandum of understanding formalising the partnership was signed at IISc in the presence of senior institutional leaders and researchers.

The project seeks to develop advanced neural technologies capable of decoding brain signals, processing them using AI systems and sending corrective signals back to the brain. Researchers believe the innovation could significantly improve cognitive rehabilitation, especially for stroke survivors who experience loss of motor functions.

Concept of AI-Enabled Brain Co-Processors

Brain co-processors are an emerging class of neurotechnology designed to augment or restore the brain’s natural functions. The IISc initiative aims to develop both implantable and non-invasive devices capable of recording neural activity, interpreting the signals through AI algorithms and delivering feedback through neural stimulation or neurofeedback.

These systems will function as closed-loop devices that continuously interact with the brain. By analysing neural patterns and sending corrective signals, the technology may help patients regain lost abilities such as coordinated movement, goal-directed reaching and grasping.

Focus on Stroke Rehabilitation

A key application of the project is the rehabilitation of individuals who have suffered strokes, particularly those involving the middle cerebral artery. Such strokes often lead to severe motor impairments affecting everyday activities.

In the first phase, researchers will develop a non-invasive neural co-processor designed to provide sensorimotor feedback that assists stroke survivors in performing goal-directed movements. Simultaneously, groundwork will begin for an implantable version that can directly interface with brain regions responsible for movement and coordination.

The second phase will focus on creating a minimally invasive embedded co-processor intended to restore sensorimotor coordination in individuals with chronic neurological deficits.

Indigenous Technology Development

An important goal of the project is to build indigenous capabilities in neurotechnology. The research team plans to design and develop implant hardware, neuromorphic computing systems and AI software stacks within India.

The initiative will also create India-specific datasets, including stereo EEG and electrocorticography recordings, to support the development of advanced AI models. Additionally, open-source AI tools, datasets and visualisation platforms will be developed as digital public goods to support wider research collaboration.

Important Facts for Exams

• The Brain Co-Processors Moonshot Project was launched by the Indian Institute of Science (IISc), Bengaluru.
• The initiative is funded by the Pratiksha Trust founded by Kris Gopalakrishnan and Sudha Gopalakrishnan.
• Neuromorphic computing mimics the structure and functioning of the human brain to process information.
• The technology aims to assist stroke rehabilitation by decoding and stimulating neural signals.

Collaborative Research and Clinical Validation

The project builds on IISc’s Brain, Computation and Data Science programme, a multidisciplinary initiative involving more than 20 faculty members. Researchers from fields such as neuroscience, electrical engineering, bioelectronics and neuromorphic computing will work together on the project.

The IISc team will collaborate with neurologists, therapists and research institutions across India and internationally to clinically validate the technology. Continuous feedback from patients, caregivers and medical professionals will be incorporated during development to ensure the devices meet clinical standards and can be deployed effectively in real-world healthcare settings.